Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
568-06-010 ISMRM Abstract

Comparison of SENSE and GRAPPA Reconstruction on GE-SE EPIK Data while incorporating different sensitivity map computations

Primary: Acquisition & Reconstruction - Image Reconstruction: Non-AI
Secondary: Acquisition & Reconstruction - Subsampling: Parallel imaging, compressed sensing and low-rank modeling
568-06-010 · Image Reconstruction II · Wednesday, 13 May, 4:55 PM–5:50 PM · Digital Posters Row I
Keywords: Parallel Imaging Image Reconstruction Multi-parametric MRI GE-SE EPIK
Accepted
Fabian Küppers 1, Omar A Omari1,2, Felix Landmeyer1, Markus Zimmermann1, N. Jon Shah1,3,4,5
1Institute of Neuroscience and Medicine 4, Forschungszentrum Juelich, Juelich, Germany
2Fachhochschule Aachen, Aachen, Germany
3Institute of Neuroscience and Medicine 11, JARA, Forschungszentrum Juelich, Juelich, Germany
4JARA - BRAIN - Translational Medicine, Aachen, Germany
5Department of Neurology, RWTH Aachen University Hospital, Aachen, Germany
Presenting Author: Fabian Küppers

Synopsis

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References

1. F. Küppers, S. D. Yun, and N. J. Shah, “Development of a novel 10-echo multi-contrast sequence based on EPIK to deliver simultaneous quantification of T2 and T2* with application to oxygen extraction fraction,” Magn. Reson. Med., vol. 88, no. 4, pp. 1608–1623, Oct. 2022, doi: 10.1002/mrm.29305. [doi]
2. F. Küppers et al., “Brain Tumor Characterization Using Multiple MR Parameters From Multi-Contrast EPI With Keyhole (GE-SE EPIK) Including Oxygen Extraction Fraction: A Comparison to O-(2-[18F]Fluoroethyl)-L-Tyrosine (FET) Positron Emission Tomography,” J. Magn. Reson. Imaging JMRI, vol. 62, no. 3, pp. 721–736, Sept. 2025, doi: 10.1002/jmri.29795. [doi]
3. X. Wang, M. Uecker, and L. Feng, “Fast Real-Time Cardiac MRI: a Review of Current Techniques and Future Directions,” Investig. Magn. Reson. Imaging, vol. 25, no. 4, p. 252, 2021, doi: 10.13104/imri.2021.25.4.252. [doi]
4. H. M. Ahmed, R. E. Gabr, A.-B. M. Youssef, and Y. M. Kadah, “Optimizing kernel size in generalized auto-calibrating partially parallel acquisition in parallel magnetic resonance imaging,” in Medical Imaging 2010: Physics of Medical Imaging, SPIE, Mar. 2010, pp. 1638–1643. doi: 10.1117/12.844597. [doi]
5. K. P. Pruessmann, M. Weiger, M. B. Scheidegger, and P. Boesiger, “SENSE: Sensitivity Encoding for Fast MRI,” Magn. Reson. Med., no. 42, pp. 952–962, 1999. PMID: 10542355 [pmid]
6. M. Uecker et al., “ESPIRiT—an eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA,” Magn. Reson. Med., vol. 71, no. 3, pp. 990–1001, 2014, doi: 10.1002/mrm.24751. [doi]
7. M. Uecker and et al., BART: Toolbox for Computational Magnetic Resonance Imaging. (2023). [Online]. Available: https://github.com/mrirecon/bart
8. M. Zimmermann and F. Landmeyer, Juelich Advanced Image Reconstruction Toolbox (JuART). (2025). [Online]. Available: https://github.com/jumri-project/juart

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/568-06-010